Correlation Between Huang Hsiang and Lihtai Construction
Can any of the company-specific risk be diversified away by investing in both Huang Hsiang and Lihtai Construction at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Huang Hsiang and Lihtai Construction into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Huang Hsiang Construction and Lihtai Construction Enterprise, you can compare the effects of market volatilities on Huang Hsiang and Lihtai Construction and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Huang Hsiang with a short position of Lihtai Construction. Check out your portfolio center. Please also check ongoing floating volatility patterns of Huang Hsiang and Lihtai Construction.
Diversification Opportunities for Huang Hsiang and Lihtai Construction
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Huang and Lihtai is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Huang Hsiang Construction and Lihtai Construction Enterprise in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lihtai Construction and Huang Hsiang is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Huang Hsiang Construction are associated (or correlated) with Lihtai Construction. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lihtai Construction has no effect on the direction of Huang Hsiang i.e., Huang Hsiang and Lihtai Construction go up and down completely randomly.
Pair Corralation between Huang Hsiang and Lihtai Construction
Assuming the 90 days trading horizon Huang Hsiang Construction is expected to generate 1.95 times more return on investment than Lihtai Construction. However, Huang Hsiang is 1.95 times more volatile than Lihtai Construction Enterprise. It trades about 0.83 of its potential returns per unit of risk. Lihtai Construction Enterprise is currently generating about 0.34 per unit of risk. If you would invest 6,470 in Huang Hsiang Construction on November 28, 2024 and sell it today you would earn a total of 1,210 from holding Huang Hsiang Construction or generate 18.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Huang Hsiang Construction vs. Lihtai Construction Enterprise
Performance |
Timeline |
Huang Hsiang Construction |
Lihtai Construction |
Huang Hsiang and Lihtai Construction Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Huang Hsiang and Lihtai Construction
The main advantage of trading using opposite Huang Hsiang and Lihtai Construction positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Huang Hsiang position performs unexpectedly, Lihtai Construction can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Lihtai Construction will offset losses from the drop in Lihtai Construction's long position.Huang Hsiang vs. Highwealth Construction Corp | Huang Hsiang vs. Huaku Development Co | Huang Hsiang vs. Kindom Construction Corp | Huang Hsiang vs. Cathay Real Estate |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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